This research paper presents the development of a Generative AI-Based Virtual Study Guide designed torevolutionize personalized learning by dynamically creating content tailored to individual student needs. Through the use ofadvanced AI technologies, including natural language processing (NLP) and deep learning, the system analyzes each student’sunique learning goals, preferences, and performance metrics to generate customized study resources. These resources includeconcise summaries, adaptive quizzes, and interactive explanations that are continuously refined to align with the student'slearning pace, subject preferences, and comprehension level. By offering targeted support in real time, the AI-driven studyguide promotes deeper engagement and enhances knowledge retention, addressing the diverse needs of learners across variouseducational contexts.Key Words: Advanced learning, Generative AI, Artificial Intelligence, paedology, large language models (LLM)